This R Notebook and its related R scripts provide an introduction to the COVIDMINDER application, which you can find at:
The github repository for all the code required for this notebook, including a snapshot of the COVIDMINDER application, can be found at:
The COVIDMINDER github repository can be found at:
We’re asking those who wish to participate in this excercise to clone the github repository, create a personal branch, and make additions to the repository by creating new, customized notebooks. The general procedure is as follows:
git clone https://github.com/TheRensselaerIDEA/COVID-Notebooks.git in your home directory, creating a new directory COVID-Notebookscd to COVID-Notebooksgit checkout -b my-new-branch ; substitute a unique name for my-new-branch !!!COVID-Notebooks via the Files panelRmd) file using an original, descriptive filenamegit add each file you want to add to the repository (e.g. your new Rmd file, perhaps the html you create when you knit)git commit -a -m "some comment" where “some comment” is a useful comment describing your changesgit push origin my-new-branchThe advantage of the disparity index is that represents how far off a target standard the observed rate is.
Mathematically, DI = log(x/y) or DI = log(y/x) depending upon whether being above or below the target is preferred.
This map compares the COVID-19 mortality rates of individual states with the US rate. This map is updated daily.
Here, shades of red indicate that a state’s COVID-19 mortality rate is higher than the US rate
Data source: JHU daily reports (04-06-2020)
This map compares rates of COVID-19 tssting in US states vs South Korea’s testing rate. This map is updated daily.
Here, shades of red indicate that a state’s testing rate is lower than the South Korean rate
Data source: The COVID Tracking Project daily reports (04-06-2020)
The map compares individual state mortality rates related to cardiovascular diseases (per 100k) with the US rate. In recent literature, COVID-19 risk has been linked to certain cardiovascular diseases, including hypertension. This map uses recent historical figures.
Here, shades of red indicate that a state’s mortality rate from total cardiovascular diseases is higher than the US rate
Data source:
CDC (2017)
This map compares the availability of hospital beds in US states vs the rate in Italy (3.2 beds/1000). This map uses recent historical figures and does not reflect ‘surge’ capacity.
Here, shades of red indicate that a state’s hospital bed availablity is lower than the rate in Italy
Data sources:
Organisation for Economic Co-operation and Development and Kaiser Family Foundation
This map compares the COVID-19 mortality rates of NY counties with the NY average. This map is updated daily.
Here, shades of red indicate that a county’s COVID-19 mortality rate is higher than the NY rate.
Data source: JHU daily reports (04-06-2020)
This map compares the COVID-19 cases for NY counties with the NY average. This map is updated daily.
Here, shades of red indicate that a county’s COVID-19 case count is higher than the NY rate.
Data source: JHU daily reports (04-06-2020)
This plot shows the growth of COVID-19 cases across NY counties since early 2020. This data is updated daily.
Mouse over the plot to identify individual counties.
Data source: JHU daily reports (04-06-2020)